Unmasking chaotic mask by a wavelet multiscale decomposition algorithm

被引：24

作者：

Huang, XG ^{[1
]}

Xu, JX

Huang, W

Lu, ZJ

机构：

[1] Xian Jiao Tong Univ, Sch Architectural Engn & Mech, Xian 710049, Peoples R China

[2] Air Force Univ Engn, Xian 710068, Peoples R China

[3] Xidian Univ, Sch Telecommun, Xian 710071, Peoples R China

[4] Univ Elect Sci & Technol China, Chengdu 610054, Peoples R China

来源：

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2001年 / 11卷 / 02期

关键词：

D O I：

10.1142/S0218127401002274

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

A method is proposed for extracting a useful signal hidden in a deterministic chaotic signal using a wavelet multiscale decomposition algorithm that can separate two signals with different wavelet scales. The mask removal is done without resorting to chaos synchronization. It is a noise reduction method without knowing the dynamical model of chaotic system, and restricting the modulation ratio of the chaos signal and useful signal. So this method is effective for unmasking chaotic mask through the quantitative analyses and the numerical simulations of three examples.

引用

页码：561 / 569

页数：9

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